Equipment Manufacturers Research Articles

Study on two-stage robust optimal configuration of integrated energy system considering CCUS and electric hydrogen production

Under the background of complementary and cascade utilization of multiple types of energy, how to carry out the capacity planning of economic, efficient, and low-carbon integrated energy system to meet the diversified needs of cooling, heating, electricity, and hydrogen loads is a challenging problem. This study conducted a two-stage robust optimization (RO) configuration of integrated energy system considering Carbon Capture Utilization and Storage (CCUS) and electric hydrogen production. In order to adapt the configuration scheme to the potential extreme operational scenarios, the uncertainty sets of new energy and load are constructed based on Latin hypercubic sampling. The efficacy is validated through the design of several scenarios and a comparison with alternative methods. The results indicate: 1) Strengthening of carbon emission constraints facilitates the cleaner and electrified transformation of energy. In the shift from “low carbon” to “zero carbon” scenario, the proportion of new energy capacity in power generation equipment increases from 45.1% to 79.8%; the proportion of electric chillers in cooling equipment increases from 1.3% to 7.2%, and reaches 60% under “zero carbon” scenario. 2) With a 36% reduction in the investment cost of new energy, the spatiotemporal transfer value of energy is realized, which increases the investment capacity of energy storage by about 7 times. 3) The configuration of hydrogen production and storage equipment to meet hydrogen demand reduces costs by 19% compared to direct purchasing in “low carbon” scenario. 4) Compared to other methods, the proposed method in this study is able to reduce the solution time and configuration cost.

Equilibrium Strategies in an Mn/M/1 Queue with Server Breakdowns and Delayed Repairs

Ophthalmic units use sophisticated equipment to enable accurate diagnosis of refractive errors. This equipment is subject to two types of breakdowns. One is simple breakdown which can be repaired in-house, and the other is complex breakdown which requires repair by the original equipment manufacturer (OEM) and results in a delay time between the server breakdown and the start of the repair. In this paper, we model this scenario as an Mn/M/1 queuing system with two types of breakdowns and delayed repairs due to complex breakdowns, where the delay time and repair times for simple and complex breakdowns are generally distributed. We obtain the steady-state probabilities and provide the recursive formulas for the Laplace–Stieltjes transforms (LSTs) of conditional residual delay time and repair times given the system state. For the fully observable case, we derive the equilibrium joining strategies of customers who decide to join or balk based on their observation of the system state. Moreover, two numerical experiments are conducted to explore the equilibrium joining probabilities.

“Energy‒environment” life cycle assessment and comparison of a nuclear-based hydrogen production system

The use of fossil fuels has caused a global environmental catastrophe. To determine whether low-emission hydrogen to replace fossil fuels can successfully reduce environmental pollution, a comprehensive quantitative analysis of the product's whole industrial chain is necessary. This study proposes evaluating the environmental impacts of a pressurized water reactor (PWR) nuclear-based hydrogen production system using SimaPro and its database based on the life cycle assessment (LCA) method. The system covers fuel (uranium mine) production and use, equipment manufacturing and operation, factory construction and operation, and vehicle production and operation in hydrogen transportation. The emissions of 10 kinds of pollutants in the above four stages are calculated and classified into 6 environmental impact indicators for comprehensive analysis. The results show that the comprehensive energy recovery ratio of existing feasible high-temperature electrolysis (HTE) technology is 17.65%, which is 68% higher than the efficiency of conventional electrolysis (CE) technology. The global warming potential (GWP) of 1 kg H2 produced by PWR-HTE is 2.18 kg CO2 eq, of which the construction, operation, and transportation stages account for 9.6%, 30.7%, and 58.7%, respectively. Except for GWP, the operation stage contributes the highest environmental impact. Energy transition and hydrogen transportation distance are the key parameters with great environmental impacts on the system. Based on the above LCA quantitative research and assessment results, policy development recommendations are proposed for the clean nuclear-hydrogen industry.

IMPGREENING AND MODERNIZATION OF EQUIPMENT FOR PROCESSING CONSTRUCTION WASTE INTO SECONDARY CRUSHED STONE

The article addresses the pressing issue of processing reinforced concrete structures that have resulted from the destruction of buildings in Ukraine. Accumulating in significant volumes, reinforced concrete debris holds substantial potential for further use but requires efficient processing methods. The main focus is on the greening of equipment and modernization of jaw crushers to ensure their capability to effectively crush this type of waste, which is a critical task in the context of sustainable development and the implementation of environmentally safe technologies in the construction industry. The study analyzes existing jaw crusher designs, their technical characteristics, and possibilities for modernization. A detailed examination of crusher operation parameters, such as the angle of capture, jaw stroke, eccentric shaft rotation frequency, and the strength and rigidity of the main components, was conducted. The research findings demonstrate that optimizing the angle of capture and adjusting the rotation parameters of the eccentric shaft can significantly enhance the crusher's performance, thereby confirming the effectiveness of the proposed modifications. To achieve the set objectives, the study also focused on the wear resistance of the jaw crusher's working elements, particularly the jaws and the eccentric shaft. An analysis of the main factors affecting the wear of these elements during the crushing of reinforced concrete debris was conducted, and measures to improve their durability were proposed. Specifically, the potential use of new, more wear-resistant materials for manufacturing the jaws was explored, as well as the optimization of the crusher's thermal regime to reduce the wear of the eccentric shaft. The results of the study confirmed that the application of these approaches not only increases the crusher's efficiency but also significantly extends the service life of its working elements, which contributes to reducing operational costs and enhancing the profitability of the reinforced concrete debris processing process. The scientific novelty of this research lies in the development of optimized solutions for the greening of equipment and modernization of jaw crushers, which ensure increased efficiency in processing reinforced concrete debris of varying strengths. Particular attention was paid to the importance of properly selecting the angle of the plates and other parameters that affect equipment productivity. The implementation of the obtained results could have a significant impact on the development of construction waste processing technologies and contribute to environmental safety in Ukraine's construction industry.

Precision compensation method for large-scale measurements based on full-space refractive index field reconstruction with vibratory mirror background oriented schlieren (VMBOS)

With the development of the large-scale equipment manufacturing industry, such as aircraft component assembly, wind turbine rotor blade measurement and large ship assembly the demand for optical measurement accuracy in large-dimensional spaces within industrial environments has become increasingly stringent. However, due to the presence of internal interference sources, light will no longer propagate in a straight line, thereby introducing measurement errors that cannot be ignored. To compensate for the measurement error, the refractive index field distribution within the large-dimensional measurement space must be reconstructed. Therefore, this paper proposed a vibratory mirror background oriented schlieren (VMBOS) based on vibratory scanning. This method scans the measurement space through the rotation of vibratory mirror to obtain light deflection angles at different directions. Subsequently, the refractive index field of the large-dimensional space is reconstructed by using the tomographic reconstruction algorithm. Then the optical path of the light in the optical measurement can be corrected through the Hamiltonian ray tracing algorithm, thereby achieving compensation for the measurement error. Finally, the VMBOS method has been verified through both simulation and experimental methods. The experimental results demonstrated that the method proposed in this paper can be applied to optical path correction and error compensation in large scale spaces.

Social impacts and post-disaster management in disaster-prone areas of East Java, Indonesia.

In disaster-affected areas, to restore the community's economic condition, local governments provide multiple kinds of assistance, including business capital (grants), low interest rates, production equipment, community empowerment activities, job opportunities and business partnerships with the local market. Furthermore, such strategies for disaster management should be implemented in an integrated manner, and the inclusion of local community members for prevention, mitigation, preparedness, and emergency response to recovery phases are also highly recommended.

Assessment of national economic repercussions from Shanghai’s COVID-19 lockdown

In today’s increasingly specialized and fragmented sectoral chain, as well as increasingly close economic connections between regions, regional economic fluctuations caused by natural or human factors can be transmitted through the interregional economic network to external regions, causing losses. The assessment of external losses is the foundation for fully understanding the impact of emergencies and taking effective response measures. On the basis of the MRIO model, this paper constructs a model of the impact of the COVID-19 lockdown in Shanghai on the national economy and investigates the impact of artificial controls on the economies of various regions and sectors in China after the outbreak of the COVID-19 pandemic. The results indicate that the external losses caused by regional emergencies are much greater than the local losses. Second, the sectors with the greatest GDP losses caused by Shanghai’s lockdown are wholesale and retail, whereas the sectors with the greatest decline are metal product manufacturing, machinery and equipment maintenance services. Finally, the impact of Shanghai’s lockdown on other regions is not significantly related to their economic size or geographical location.

Fast Multi-Distance Time-Domain NIRS and DCS System for Clinical Applications.

We have designed and built an improved system for combined Time-Domain Near-Infrared Spectroscopy (TD NIRS) and Diffuse Correlation Spectroscopy (DCS) measurements. The system features two independent channels, enabling TD NIRS and DCS acquisition at short and long source-detector distances to enhance depth sensitivity in layered tissues. Moreover, the device can operate at fast acquisition rates (up to 50 Hz) to monitor hemodynamic oscillations in biological tissues. An OEM (Original Equipment Manufacturer) TD NIRS device enables stable and robust acquisition of photon distribution of time-of-flight. For the DCS signals, the use of a time tagger and a software correlator allows us flexibility in post-processing. A user-friendly GUI controls TD NIRS data acquisition and online data analysis. We present results for the system characterization on calibrated tissue phantoms according to standardized protocols for performance assessment of TD NIRS and DCS devices. In-vivo measurements during rest and during vascular occlusions are also reported to validate the system in real settings.

Opportunities and Challenges for Predicting the Service Status of SLM Metal Parts Under Big Data and Artificial Intelligence.

Selective laser melting (SLM) technology is a high-end dual-use technology that is implemented in aerospace and medical equipment, as well as the automotive industry and other military and civilian industries, and is urgently needed for major equipment manufacturing and national defense industries. This paper examines the challenges of uncontrollable service states and the inability to ensure service safety of SLM metal parts under nonlinear and complex operating conditions. An overview of the prediction of the service status of SLM metal parts was introduced, and an effective approach solving the problem was provided in this paper. In this approach, the cross-scale coupling mechanism between mesoscopic damage evolution and macroscopic service state evolution is clarified by tracking the mesoscopic damage evolution process of SLM metal parts based on ultrasonic nonlinear responses. The failure mechanism is organically integrated with hidden information from monitoring big data, and a "chimeric" model to accurately evaluate the service status of SLM metal parts is constructed. Combining nonlinear ultrasound technology with big data and artificial intelligence to construct a "chimeric" model and consummate the corresponding methods and theories for evaluating the service status of SLM metal parts is an effective way to reveal the mesoscopic damage evolution and service status evolution mechanisms of SLM metal parts under complex factor coupling, and to accurately describe and characterize the service status of parts under complex operating conditions. The proposed approach will provide a theoretical basis and technical guarantee for the precise management of SLM parts' service safety in key equipment fields such as aerospace, medical equipment, and the automotive industry.

Design of China's Modern Parks in Post-industrial Territories: Project Approaches in the Processing of Industrial Heritage

The transformation of industrial heritage is an essential issue in the urban development process in China. Currently, most of China’s industrial heritage has undergone numerous changes. Such territories, where industrial buildings are stored, have undergone adaptive changes for recreational use. Therefore, the purpose of the research was to establish project approaches to the processing of industrial heritage and the formation of modern Chinese parks in post-industrial territories. Research methods. Achieving the goal of this work involves studying the object and identifying various types of connections that exist in it, which determines the use of a systemic approach. In the process of conducting the research, both the comparative-historical method and the morphological and compositional methods were used. Their inclusion in the research procedure made it possible to consider the park environment as a complex compositional structure characterised by the interrelationship between functional and morphological solutions and the artistic characteristics of park environment design. Scientific novelty. For the first time, the work systematises material on the usage of industrial heritage objects in the design of modern parks created on post-industrial territories. Project approaches to its development have been established. Conclusions. The contem porary approach in the processes of renewal of industrial heritage is characterised by the transition from only adaptive reuse to the creation of urban cultural landscapes. This is due to combining the original industrial texture with the new design, which forms a landscape with unique characteristics. Scale is the most characteristic feature of industrial heritage. This scale marks industrial buildings and individual equipment that characterises a particular territory. The following project approaches have been established in the processing of buildings: exposing the frameworks of industrial buildings while preserving their authentic appearance, when the brutal textures of building materials of industrial buildings act as carriers of memory; another approach – frame structures in the environment of the park landscape are solved as expressive accents thanks to bright painting, lighting, wrapping with a glass shell. Also, an expressive object of industrial heritage is the equipment that ensured the production process in each production. Depending on the type of this equipment, several approaches are distinguished in its processing: large-sized objects retain their original appearance, are brightly painted, and play the role of visual anchors in the park environment, marking the identity of the area; as for small individual elements of production equipment, they become art objects, organising specific areas of the park.

IoT- enabled crop waste mulching machine for sustainable farming: perspective of circular economy

Abstract A large amount of crop waste is generated after crop harvesting. A substantial quantity of waste on the farm is burnt to clear the field, contributing to environmental harm and global warming. The study aims to develop a technological solution for crop waste management (CWM) by designing and developing an IoT-enabled crop waste mulching machine. This initiative addresses the environmental and health issues caused by burning crop waste on farms. The research involves designing and developing an IoT-enabled mulching machine that can be attached to the back side of a tractor. The machine consists of power-transmitting elements, supports, and mechanisms to distribute mulching material evenly onto the plant bed. It incorporates advanced IoT load cell sensors, soil moisture sensors, and proximity sensors to optimize the mulching process based on soil moisture content and to prevent machinery blockages. The IoT-enabled mulching machine effectively manages crop waste by utilizing it in mulch, thus preventing the harmful practice of burning waste. This machine ensures a more efficient, safer, and environmentally friendly approach to mulching, offering significant improvements over traditional manual mulching methods. The novelty of this research lies in integrating IoT technologies within mulching machine. The mulching machine uses sensors to automate and optimize the mulching process, representing a significant technological advancement over conventional methods. The study offers practical benefits by reducing labour requirements, minimizing the risk of injuries, and ensuring a more uniform mulch application. This technology facilitates more sustainable farming practices, aligning with global sustainability goals. The study can potentially revolutionize the agricultural equipment manufacturing industry (AEMI) by shifting the focus toward environmental sustainability. It promotes replacing plastic film mulching machines with more eco-friendly crop waste mulching solutions. This technology has the potential to reduce air pollution, carbon emissions, and mitigate climate. It also enhances soil health through better mulching practices.

Evaluation of Continuous GMA Welding Characteristics Based on the Copper-Plating Method of Solid Wire Surfaces

Gas metal arc welding (GMAW) is widely used in various industries, such as automotive and heavy equipment manufacturing, because of its high productivity and speed, with solid wires being selected based on the mechanical properties required for welded joints. GMAW consists of various components, among which consumables such as the contact tip and continuously fed solid wire have a significant impact on the weld quality. In particular, the copper-plating method can affect the conductivity and arc stability of the solid wire, causing differences in the continuous welding performance. This study evaluated the welding performance during 60 min continuous GMAW using an AWS A5.18 ER70S-3 solid wire, which was copper-plated using chemical plating (C-wire) and electroplating (E-wire). The homogeneity and adhesion of the copper-plated surface of the E-wire were superior to those of the C-wire. The E-wire exhibited better performance in terms of arc stability. The wear rate of the contact tip was approximately 45% higher when using the E-wire for 60 min of welding compared with the C-wire, which was attributed to the larger variation rate in the cast and helix in the E-wire. Additionally, the amount of spatter adhered to the nozzle during 60 min, with the E-wire averaging 5.9 g, approximately half that of the C-wire at 12.9 g. The E-wire exhibits superior arc stability compared with the C-wire based on the spatter amount adhered to the nozzle. This study provides an important reference for understanding the impact of copper plating methods and wire morphology on the replacement cycles of consumable welding parts in automated welding processes such as continuous welding and wire-arc additive manufacturing.

Application of Machine Learning in Construction Productivity at Activity Level: A Critical Review

There are two crucial resources (i.e., labor and equipment) of productivity in the construction industry. Productivity modeling of these resources would aid stakeholders in project management and improve construction scheduling and monitoring. Hence, this research aims to review machine learning (ML) applications in the process of construction productivity modeling (CPM) for construction labor productivity (CLP) and construction equipment productivity (CEP) from dataset acquisition to data analysis and evaluation, which includes their trends and applicability. An extensive analysis of 131 journals focused on the application of machine learning in construction productivity (ML-CP) from 1990 to 2024 via a mixed review methodology (bibliometric analysis and systematic review) was conducted. It can be concluded that despite the rise in automated dataset collection, the traditional method has its advantages. The review further found that the selection of ML models relies on each particular application, available data, and computational resources. Noticeably, artificial neural networks, convolutional neural networks, support vector machines, and even deep learning demonstrating have been adopted due to their effectiveness in different functionalities and processes in CPM. This study will supplement the insights gained in the review with a comprehensive understanding of how ML applications operate at each stage of CPM, enabling researchers to make future improvements.

Optimization of microstructure and mechanical properties of 7075 aluminum alloy by equal channel angular pressing technology

Abstract The equal channel angular pressing technology, as an effective technique for modifying the surface of a material, has had a significant impact on the microstructure and mechanical properties of the 7075 aluminum alloy. The study achieved the refinement of 7075 aluminum alloy grains and the homogenization of the second phase particle distribution through equal channel angular pressing technology, thereby significantly improving the strength and plasticity of the material. Through orthogonal experimental design, the effects of extrusion angle, extrusion speed, and remelting temperature on material properties were studied. The results showed that appropriate ECAP parameters could effectively regulate the microstructure of 7075 aluminum alloy, thereby optimizing its mechanical properties. Especially in the analysis of equivalent strain rate, when the extrusion angle was 50°, the position of the maximum equivalent strain rate at the forefront point remained unchanged, but the equivalent strain rate decreased to 0.107-1. In the aging hardness analysis, when the number of equal channel angular pressing passes was 3, the aging hardness of G group 7075 aluminum alloy increased to 195HV in the first 5 minutes. The equal channel angular pressing technology can optimize the internal structure of 7075 aluminum alloy and improve the material's plasticity and mechanical properties. The research provides important technical support for the application of 7075 aluminum alloy in high-end equipment manufacturing.

Gas Box Exhaust Design Modification for Accidental Hazardous Gas Releases in Semiconductor Industry

Hazardous substances such as hydrogen and chlorine are used in semiconductor manufacturing. When these gasses are discharged, they are mixed with outside air and are connected to a treatment facility through a duct inside a gas box. This study investigated an optimal exhaust design to prevent fire explosions and toxic exposure by optimizing the exhaust volume when hazardous substances leak from the gas box of semiconductor manufacturing equipment. In this study, carbon monoxide was used for modeling. A 75 mm duct was used, and the tracer gas was released into the gas box at 15.4 LPM. The concentrations were measured at nine points inside and outside the gas box. According to the test results, in an experiment designed with 0% air intake, the internal leakage concentration was measured to be more than 25% of the LEL (lower explosive limit) for 10 min when leakage occurred due to stagnant flow, and the outside toxicity concentration was also measured to be more than 50% of the TWA (time-weighted average) value. When the air intake ratio was designed to be 100%, there was a point on the outside that exceeded 50% of the TWA, confirming that excessive air intake could also cause gas to leak outside. Finally, when the intake ratio was designed to be 50% in both directions, it was confirmed that the airflow was maintained smoothly, and the hazardous gasses were safely diluted and discharged through the duct. This study was conducted to improve the safety of workers in the field in the event of leakage of flammable and toxic gasses by testing the location and area of the air intake hole in the gas box exhaust port. Through this effort, the aim is to present specific standards for gas box design and to assist in establishing a legal framework or standardized guidelines.

Comprehensive performance evaluation of steam generating heat pumps for industrial waste heat recovery

Steam generating heat pump (SGHP) is a key technology for industrial decarbonization. For comprehensive evaluation of the feasibility and reliability of SGHP in different industrial sector, the work develops a thorough evaluation model for assessing the performance of SGHP by considering waste heat recovery, CO2 trading value, and pollutant emission cost, in addition to the conventional evaluation criteria. This work presents a thorough comparison of the thermodynamic performance and sustainability of various types of SGHPs across different industrial sector. Additionally, the conflicting relationships between the coefficient of performance (COP) and exergy efficiency are balanced through the application of the technique for order preference by similarity to ideal solution (TOPSIS). The results show that all the indexes of SGHP connected to an open heat pump (SGHPO) with different application scenarios are higher than those of SGHP connected to a flash tank (SGHPF). At the most unfavorable operating condition of the system, the COP minimum value is 1.31 and the exergy efficiency minimum value is 20.42%. These results indicate that replacing the coal-fired boiler with SGHP is feasible and the work could provide theoretical guidance for optimal design and equipment manufacture.

HIGH-TEMPERATURE EPOXY-BASED COMPOSITES

Oil-well equipment for oil production operates under complex and changing circumstances. Well pressure and temperature can reach 100 MPa and 200 °С. Chemicals are pumped into oil-wells to enhance oil yield. However, this leads to an accelerated corrosion and contributes to the equipment breakdown. Adverse effects on the equipment can be decreased through use of protecting coatings with multi-function properties.Epoxy coatings are popular. However, they are limited by operating temperature of 130 °C. If the temperature is exceeded, epoxy coatings lose their protective properties. However, researches claim that the heat resistance can be modified through epoxy resin fillers. This allows to create new composites with advanced properties. To create composites that can function under an elevated temperatures we need to research the components selection further.The article describes how the composite components influence its heat resistance. The research is based on the Wick's method. The composites matrix is ED-16, ED-20 and ED-22 epoxy-diane resin. The hardeners are PO-300, HT-450 and PEPA. The fillers are carbon nanotubes, carbon fiber, carbonaceous filament and graphene. If we add fillers to the composite based on ED-22 and HT-450 hardener, the heat resistance doubles compared to the unfilled cured resin. It is hypothesised that the epoxy free groups or hardener's free aminogen groups effect the heat resistance, because these groups can react with the fillers and result its spacious structure. This effects the composites properties.The findings serve as the basis for developing composite coatings for oil-well equipment to protect it against harsh environment.

Socio-economic Dimensions of Forest Honey (Bees dorsata) Business Development in Hiay Wetar Village, Southwest Maluku

This research aims to 1) Understand the socio-economic characteristics of the community in developing the forest honey business - Apis dorsata bees. 2) Analyze the level of income from the forest honey business - Apis dorsata bees by the community in Hiay-Wetar village, Southwest Maluku. The research was conducted in Hiay Wetar village, Southwest Maluku in January-February 2024 using a purposive sampling method with 25 families as respondents. Primary and secondary data were taken through direct observation and interviews with respondents. The data obtained were analyzed using a quantitative and descriptive qualitative approach. The research results show that the social characteristics of the community greatly influence the respondents' activities in collecting/harvesting forest honey, namely age, education level, experience in collecting forest honey, number of family dependents, and income. Collecting honey bee hives starts with marking the tree, harvesting and packaging the honey is still done using simple production equipment and traditional techniques based on local knowledge and wisdom from generation to generation. The collection of forest honey by the people of Hiay Wetar village is called "cut wani "which means cut honey" and air wani which means honey bee water. In a year there are two honey harvests (cut wani), namely in April – June and October – December with a total production of 1500 liters per year and total sales of IDR 180,000,000/year. Net income of IDR 169,915,000.00 and R/C return ratio analysis of the honey business has a decent ratio with flat R/C = IDR 18.03. Keywords: economy, Apis dorsata bees, income, social, forest honey

EXPLORING THE NEXUS BETWEEN ENERGY EFFICIENCY AND STRUCTURAL CHANGES IN ROMANIA’S MANUFACTURING INDUSTRY

The recent geopolitical upheavals have significantly impacted manufacturing, with volatile energy prices disrupting firms' cost structures and competitiveness. In this context, assessing the readiness of Romania's manufacturing sector structure to face these geopolitical challenges is crucial. The present paper explores the nexus between energy efficiency and structural changes in Romania’s manufacturing industry over the past two and a half decades, analyzing the dynamics of energy consumption and efficiency. The analysis shows that structural changes were crucial in decreasing energy consumption, as the manufacturing activities with the lowest energy efficiencies underwent the most significant output reductions. Moreover, the evolution of investment intensities in the manufacturing industry activities reflects both the sectors that have undergone successful restructuring and those that have proven attractive to investors. In terms of structural breaks, the results of the Bai-Perron (2003) test conducted on the output of the manufacturing activities revealed that the activities identified as the most energy-efficient, such as the Manufacture of furniture; other manufacturing, and the Manufacture of machinery and equipment not elsewhere classified (n.e.c.) also exhibit a considerable number of structural breaks.

IMPLEMENTATION OF VIRTUAL REALITY AS A DEMONSTRATION TOOL IN A BALLISTIC LABORATORY

Industry 4.0 is revolutionizing automation and services, highlighting virtual reality (VR) as a crucial pillar for new user experiences. This study, carried out in a ballistic protection equipment company, involves commitments in traveling customers to understand the ballistic laboratory and its validation methodologies according to standards. The implementation of VR aims to improve material approval times by providing an improved view of product validation methods and equipment. The objective of this article is to evaluate the use of a VR application to demonstrate testing methodologies in an armor company's ballistic laboratory. Developed based on DSR (Design Science Research), the project ranges from problem identification to application approval, which achieved 90% flexibility among the company's experts when integrating the use of the application into validation processes. The application of this project facilitated the validation of new projects, streamlined technical meetings and process presentations, as validated by experts in the ballistics field.